An Integrated Soft Computing Method Based on Intuitionistic Fuzzy Environment to Appraise the Urban Bridge Maintenance Models

In today's world, communication between different communities is a must. One of the mechanisms of communication between humans has been the use of the bridge industry. Bridges can have an impact on the communication between two sections or two different geographical areas. In this study, it was found that the use of bridges includes two operations of bridge construction or bridge reconstruction. Due to resource constraints and issues related to the location of the new area and the exorbitant construction costs, the reconstruction of old bridges is considered a suitable approach. Therefore, some important candidate factors exist for the reconstruction of old bridges that should rank to help managers get an efficient decision. Meanwhile, this study proposed an intuitionistic fuzzy integrated-based compromise solution (CS) and DEMATEL approach to rank the candidate by computing experts’ weights and determining criteria importance, respectively. In addition, the proposed approach is developed based on the last aggregation approach to prevent data loss during the preferences integration. Besides, a real case study of the bridge maintenance operation is proposed in Rasht city of Iran to represent the implementation procedure of the proposed IF-integrated approach. The results indicate that the pipeline project of water supply lines is considered as the best candidate among the four maintenance models candidate. Finally, the proposed method was compared with the TOPSIS method to indicate the validity and the efficiency of the proposed method and emphasize its appropriateness.